Efficient Selection of Undirected Graphical Models for
High-Dimensional Datasets
Description
Performs efficient selection of high-dimensional undirected
graphical models as described in
Abreu, Edwards and Labouriau (2010) .
Provides tools for selecting trees, forests and
decomposable models minimizing information criteria such as AIC or BIC,
and for displaying the independence graphs of the models. It has
also some useful tools for analysing graphical structures. It
supports the use of discrete, continuous, or both types of variables.